ADVANTAGES OF USING SELF-ORGANIZING MAPS TO ANALYSE STUDENT EVALUATIONS OF TEACHING

Q3 Economics, Econometrics and Finance
M. T. S. Forradellas, M. Barberà-Mariné, A. F. Bariviera, María-José Garbajosa-Cabello
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引用次数: 5

Abstract

Surveys to evaluate teaching performance are one of the most widely used instruments for assessing teaching capabilities and, consequently, the quality of teaching. Their success is largely due to how they are designed and the way in which they process information. The aim of this paper is to simplify the design of the student evaluations by removing the most correlated items, and to propose that Kohonen's self-organizing Kohonen maps be used to group teachers in accordance with all the characteristics surveyed. The methodology is applied to the particular case of the Rovira i Virgili University.Keywords: surveys to evaluate teaching performance, higher education, kohonen's selforganizing mapsJEL Classification: I21, I23, C45(ProQuest: ... denotes formulae omitted.)1. INTRODUCTIONSurveys to evaluate teaching performance were first used in America in the 1920s. One of the first publications based on the results of these surveys can be found in Remmers and Brandenburg (1927). They have subsequently been used in most universities in the world. Kulik (2001) notes that in 1973, 29% of American universities used student evaluations as a tool to assess teaching, while in 1993, they were used in 86%.Student evaluations have two types of users: teachers and educational institutions. In this respect, Catano and Harvey (2011) point out that surveys are often used to provide remunerative supplements, to decide on continuity of teachers and to support faculty promotion decisions.Theall and Franklin (2001) state that teaching staffare extremely sensitive to this issue. Some teachers, especially new ones, consider evaluations to be positive as they help improve the effectiveness of teaching. Kulik (2001), however, notes that some teachers are reluctant because they fear that students can turn them into a sort of personality contest.Student evaluations can also be understood as a form of accountability to society on the efficiency and effectiveness of teaching conducted by a university.Among the existing literature, Arthur (2009) has studied the validity of using the views of students as a means of evaluating the performance of a teacher. Other studies analyze the factors that affect the evaluation. For example, Remedios and Lieberman (2007) studied the impact on outcomes of qualifications and workload during the course, and Griffin (2004) studied the effect of gender.Although the content of evaluations is open to criticism and some items are of questionable relevance, Penny (2003) argues that universities continue to use them as a central element in assessing the effectiveness of teaching. It is therefore important that results be interpreted correctly.This study has two objectives: first, to consider whether student evaluations of teaching can be simplified by reducing the number of items; and, second, to examine whether overall evaluations take into account all those aspects of teaching that need to be measured.Although this study has been carried out in the particular case of the Rovira i Virgili University (URV), the methodology and the procedure can be generalized to any type of questionnaire.The paper is organized as follows. Section 2 describes introduces the main methodological tool used, unsupervised Kohonen's self-organizing maps, a particular type of neural network. Section 3 describes the data used and shows the results obtained from the application of the Kohonen maps. Section 4 states presents the conclusions and there are some annexes at the end.2. METHODOLOGY: KOHONEN'S SELF-ORGANIZING MAPSTo evaluate the data obtained in the survey we used a particular type of artificial neural network called a Kohonen's self-organizing map (SOM) (1989), which contains all the features of overall teacher evaluation and does not limit its analysis to the mean of the valuation (or average and standard deviation).These networks were first developed by Dr. …
使用自组织地图分析学生对教学评价的优势
评估教学绩效的调查是评估教学能力和教学质量的最广泛使用的工具之一。它们的成功很大程度上取决于它们的设计方式和处理信息的方式。本文的目的是通过去除最相关的项目来简化学生评价的设计,并建议使用Kohonen的自组织Kohonen地图来根据所调查的所有特征对教师进行分组。该方法适用于罗维拉维吉尔大学的具体情况。关键词:教学绩效评价调查;高等教育;kohonen自组织mapjel分类:I21, I23, C45(ProQuest:…表示公式省略。)20世纪20年代,美国首次使用调查来评估教学绩效。基于这些调查结果的第一批出版物之一可以在Remmers和Brandenburg(1927)中找到。它们随后被世界上大多数大学使用。Kulik(2001)指出,1973年,29%的美国大学将学生评估作为评估教学的工具,而在1993年,这一比例为86%。学生评价有两类用户:教师和教育机构。在这方面,Catano和Harvey(2011)指出,调查经常被用来提供薪酬补充,以决定教师的连续性和支持教师晋升决策。Theall和Franklin(2001)指出,教学人员对这个问题非常敏感。一些教师,尤其是新教师,认为评估是积极的,因为它们有助于提高教学效率。然而,Kulik(2001)指出,有些老师不愿意,因为他们担心学生会把他们变成一种人格竞赛。学生评价也可以理解为一种对大学教学效率和效果的社会责任。在现有的文献中,Arthur(2009)研究了使用学生的观点作为评估教师绩效的手段的有效性。其他研究分析了影响评价的因素。例如,Remedios和Lieberman(2007)研究了课程中资格和工作量对结果的影响,Griffin(2004)研究了性别的影响。尽管评估的内容可能会受到批评,而且有些项目的相关性值得怀疑,但Penny(2003)认为,大学继续将其作为评估教学有效性的核心要素。因此,正确解释结果是很重要的。本研究有两个目的:第一,考虑是否可以通过减少项目数量来简化学生对教学的评价;第二,检查整体评估是否考虑了需要衡量的教学的所有方面。虽然这项研究是在罗维拉-维吉尔大学的特殊情况下进行的,但其方法和程序可以推广到任何类型的问卷。本文组织如下。第2节介绍了使用的主要方法工具,无监督Kohonen的自组织地图,一种特殊类型的神经网络。第3节描述了所使用的数据,并展示了应用Kohonen地图获得的结果。第4节陈述了结论,最后有一些附件。为了评估调查中获得的数据,我们使用了一种特殊类型的人工神经网络,称为KOHONEN的自组织图(SOM)(1989),它包含了教师总体评价的所有特征,并且不将其分析局限于评价的平均值(或平均值和标准差)。这些网络最初是由. ...博士开发的
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来源期刊
Fuzzy Economic Review
Fuzzy Economic Review Economics, Econometrics and Finance-Economics and Econometrics
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